Trans Opus Mt En Zh

🚀 liam168/trans-opus-mt-en-zh

This model is designed for English - Chinese translation, offering a practical solution for cross - language communication and data processing.

🚀 Quick Start

This section provides a simple guide on how to use the liam168/trans-opus-mt-en-zh model for English - Chinese translation.

✨ Features

• Language Support: It supports translation from English to multiple Chinese variants, including Simplified and Traditional Chinese.
• Model Type: Based on the Transformer architecture, ensuring efficient and accurate translation.

📦 Installation

There is no specific installation instruction provided here. You need to ensure that the transformers library is installed in your Python environment. You can install it using the following command:

pip install transformers

💻 Usage Examples

Basic Usage

>>> from transformers import AutoModelWithLMHead,AutoTokenizer,pipeline
>>> mode_name = 'liam168/trans-opus-mt-en-zh'
>>> model = AutoModelWithLMHead.from_pretrained(mode_name)
>>> tokenizer = AutoTokenizer.from_pretrained(mode_name)
>>> translation = pipeline("translation_en_to_zh", model=model, tokenizer=tokenizer)
>>> translation('I like to study Data Science and Machine Learning.', max_length=400)
    [{'translation_text': '我喜欢学习数据科学和机器学习'}]

📚 Documentation

The model supports translation from English to various Chinese dialects and variants. You can adjust the max_length parameter according to your needs to control the length of the translated text.

📄 Contact

If you have any questions or suggestions, please feel free to contact the author via email: liam168520@gmail.com